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Categorical variable
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41	CHAPTER 6. MODEL AND MODEL SUMMARY OUTPUT CHAPTER 7. TUTORIALS Sectionscontain tutorials which introduces the basic ideas in traditional latent class modeling using 4 nominal categorical variables. Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2009-05-18 08:50:19 Statistical inference Statistical models Computational statistics SPSS Dummy variable Bootstrapping Latent class model Autoregressive conditional heteroskedasticity Statistics Econometrics Regression analysis
42	Graphical Displays for Identified and Unidentified Latent Class Cluster and Factor Models Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:22 Statistical models Structural equation models Categorical data Latent class model Latent variable Factor analysis Data analysis Confirmatory factor analysis Parameter Statistics Psychometrics Multivariate statistics
43	Tutorial #5: Analyzing Ranking Data Choice tutorials 1-4 all dealt with the analysis of first choices among sets of alternatives. In applications where information is also available on additional choices -- 2nd choice, 3 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:38:20 Choice set Latent class model Logistic regression Logit Variable and attribute Asynchronous Transfer Mode Ø Statistics Categorical data Conjoint analysis
44	Factor Analysis with Categorical Indicators: A Comparison Between Traditional and Latent Class Approaches Jeroen K. Vermunt Tilburg University Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:27 Econometrics Estimation theory Categorical data Latent variable model Latent class model Latent variable Item response theory Data analysis Maximum likelihood Statistics Statistical models Psychometrics
45	Reprinted from the Proceedings of the COMPSTAT 2000 conference. Graphical Displays for Latent Class Cluster and Latent Class Factor Models Jeroen K. Vermunt1 and Jay Magidson2 1 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:13:07 Statistical models Categorical data Educational psychology Latent class model Latent variable Data analysis Factor analysis Cluster analysis Latent variable model Statistics Psychometrics Multivariate statistics
46	Latent Class Models in Longitudinal Research Jeroen K. Vermunt Department of Methodology and Statistics, Tilburg University Bac Tran U.S. Census Bureau Jay Magidson Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2008-01-22 12:06:02 Markov processes Categorical data Econometrics Latent class model Latent variable Expectation–maximization algorithm Hidden Markov model Markov chain Mixture model Statistics Statistical models Markov models
47	An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables? Jay Magidson1 and Jeroen K. Vermunt2 1 2 Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:14:41 Econometrics Categorical data Psychometrics CHAID Latent class model Multinomial logit Decision tree learning Latent variable Factor analysis Statistics Regression analysis Decision trees
48	Estimating heterogeneous choice models with oglm Richard Williams Department of Sociology, University of Notre Dame, Notre Dame, IN Last revised October 17, 2010 – Forthcoming in The Stata J Add to Reading List Source URL: www3.nd.edu Language: English - Date: 2012-08-13 18:28:04 Categorical data Statistical models Data analysis Dummy variable Generalized linear model Logistic regression Ordered probit Probit Logit Statistics Regression analysis Econometrics
49	Title stata.com logit — Logistic regression, reporting coefficients Description Options Add to Reading List Source URL: www.stata.com Language: English - Date: 2015-04-07 21:48:39 Categorical data Statistical models Data analysis Logistic regression Dummy variable Logit Probit model Probit Logistic distribution Statistics Regression analysis Econometrics
50	5 LATENT CLASS FACTOR AND CLUSTER MODELS, BI-PLOTS, AND RELATED GRAPHICAL DISPLAYS Jay Magidson* Jeroen K. Vermunt† Add to Reading List Source URL: www.statisticalinnovations.com Language: English - Date: 2006-09-05 12:12:33 Multivariate statistics Categorical data Regression analysis Latent class model Latent variable Factor analysis Data analysis Local independence Confirmatory factor analysis Statistics Psychometrics Statistical models

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